RCLL runs on your own machine — the client starts it, so there is no endpoint to ping. 67 installs a week from npm. Last commit 28 Aug 2026.
Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
We read the source, 17 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
этот файл ставится пользователю, но в репозитории его нет
const child = spawn(cmd, args, { stdio: 'pipe' });
self._process = subprocess.Popen(
### Multi-Strategy Retrieval (TEMPR)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add fleet-memory -- npx -y fleet-memory-mcp
{
"mcpServers": {
"fleet-memory": {
"args": [
"-y",
"fleet-memory-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.fleet-memory]
command = "npx"
args = ["-y", "fleet-memory-mcp"]
{
"mcpServers": {
"fleet-memory": {
"args": [
"-y",
"fleet-memory-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"fleet-memory": {
"args": [
"-y",
"fleet-memory-mcp"
],
"command": "npx"
}
}
}
Shared memory MCP server for AI coding agents — local by default, team-shared via threadctx.dev.
Persistent memory for AI agents. Free, no LLM, no SDK. Open Worker you can self-host in 2 commands.
Code-pinned team memory for AI coding agents — typed artifacts, MCP-native, self-host.
Shared, git-tracked working memory for AI agents on the same codebase.
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
Self-hosted AI memory server. Persistent memory on your hardware, not the cloud.
Persistent docs and memory for AI agents — read, write, organize & search a shared workspace.
Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.
Answers built from our own checks of this server.